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AI Platform Engineering Lead

Company Description

IFS is a billion-dollar revenue company with 6000+ employees on all continents. We deliver award winning enterprise software solutions through the use of embedded digital innovation and a single cloud-based platform to help businesses be their best when it really matters–at the Moment of Service™.

At IFS, we're flexible, we're innovative, and we're focused not only on how we can engage with our customers but on how we can make a real change and have a worldwide impact. We help solve some of society's greatest challenges, fostering a better future through our agility, collaboration, and trust.

We celebrate diversity and accept that there are so many different perspectives in this world. As a truly international company serving people from around the globe, we realize that our success is tantamount to the respect we have for those different points of view.

By joining our team, you will have the opportunity to be part of a global, diverse environment; you will be joining a winning team with a commitment to sustainability; and a company where we get things done so that you can make a positive impact on the world.

We're looking for innovative and original thinkers to work in an environment where you can #MakeYourMoment so that we can help others make theirs.

If you want to change the status quo, we'll help you make your moment. Join Team Purple. Join IFS.

Job Description

We are seeking an experienced, technically-proficient AI Platform Engineering Leader who will build and oversee production-grade AI software. As a key technology leader, you will architect scalable data pipelines, establish robust engineering practices, and drive technical decisions that support our AI-driven enterprise solutions. This role requires expertise in AI infrastructure, systems, and data engineering, as well as strong leadership skills to guide a team of engineers in building reliable and performant AI systems.

You will be responsible for designing and implementing the technical foundation that powers our generative AI and multi-agent systems. This leadership position demands excellence in technical architecture, production engineering practices, and the ability to translate business needs into scalable, resilient technical solutions.

Key Responsibilities:

● Work closely with customers, domain experts, and use case leads to identify pain points, define AI-driven solutions, and iteratively prototype use cases.

● Rapidly build proof-of-concept (PoC) AI solutions and evaluate their impact in real-world industrial workflows before scaling them into production.

● Apply generative AI models, including LLMs, to create AI agents capable of reasoning, planning, and autonomous execution.

● Integrate AI-driven decision-making into existing industrial systems, such as enterprise resource planning (ERP), and other enterprise platforms.

● Design, develop, and deploy AI-driven autonomous agents tailored for industrial applications, implement agentic AI applications that enable task completion in industrial settings.

● Conduct rigorous testing, validation, and optimization of AI models to ensure reliability, safety, and regulatory compliance in industrial settings.

● Stay ahead of the latest advancements in generative AI, reinforcement learning, and multi-agent systems to drive innovation. Lead the architectural design and implementation of production-grade AI platforms that scale across enterprise environments

● Develop and optimize data pipelines to support AI model training, deployment, and continuous improvement

● Establish engineering best practices, including CI/CD workflows, testing frameworks, and monitoring systems for AI applications

● Oversee the integration of AI systems with enterprise data sources, APIs, and existing technology infrastructure

● Guide a team of engineers in building robust, scalable, and maintainable AI software solutions

● Implement observability, reliability, and performance optimizations for AI systems in production

● Collaborate with AI engineers and customers to translate AI capabilities into production-ready systems

● Stay current with emerging technologies in AI

Qualifications

● Strong problem-solving skills, innovation mindset, and ability to thrive in a fast-paced, experimental environment

● Experience in collaborating with leading AI frontier labs, to leverage the latest capabilities of the models is a plus

● Experience in building and deploying gen AI applications in 0 to 1 stage. Ability to rapidly prototype and iterate on AI-driven workflows, ensuring solutions are both technically robust and aligned with business objectives. Experience in balancing technical innovation with production reliability

● Must have experience in integrating enterprise wide knowledge into AI assistants to optimal results and impact

● Experience in AI-driven automation and API integration

● Experience working directly with customers, business stakeholders, and domain experts to co-develop AI solutions

● Technical degree in Computer Science, Engineering, or related field, or equivalent senior-level industry experience

● Experience in software engineering focused on AI/ML systems in production

Additional Information

What We’re Offering

  • Salary Range: $200,00- 250,000 annually + bonus
  • Flexible paid time off, including sick and holiday
  •  Medical, dental, & vision insurance
  •  401K with Company contribution
  •  Flexible spending accounts
  •  Life insurance and disability benefits
  •  Tuition assistance
  •  Community involvement and volunteering events

 

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. VEVRAA Federal Contractor, Equal Opportunity Employer

Average salary estimate

$225000 / YEARLY (est.)
min
max
$200000K
$250000K

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At IFS we develop cloud enterprise software for companies who want to be at their best when it matters most to their customers - at the #MomentOfService. This idea resonates with customers, partners and analysts, and has helped fuel growth. But wh...

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Full-time, on-site
DATE POSTED
April 26, 2025

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